Senior Staff Software Engineer - Monetization

Location: US Remote; participation in in-person events and relationship-building activities is expected, with hybrid expectations discussed for roles near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

Salary: $281,000–$374,000 annualized, depending on geographic location, skills, experience, and qualifications; potentially higher for a level exceeding expectations.

Company

hirify.global operates a neighborhood network used by neighbors, public agencies, and businesses across more than 350,000 neighborhoods in 11 countries, generating revenue through advertising products and subscription offerings.

What you will do

• Define technical strategy and architecture for the monetization platform, leading complex initiatives from concept through measurable outcomes.
• Build scalable, reliable, secure, and privacy-preserving systems for native advertising and SMB subscription products.
• Partner with Product, Machine Learning, Data Science, and Engineering to shape roadmaps, manage tradeoffs, and deliver business impact.
• Raise standards for quality, reliability, observability, release safety, and developer productivity.
• Remain hands-on with architecture, implementation, design reviews, debugging, launches, and production operations.
• Participate in in-person trainings, off-sites, volunteer days, team-building events, and company culture activities.

Requirements

• Exceptional system design skills and a proven record of building scalable, reliable, high-performance distributed systems.
• Deep experience building advertising platforms, including large-scale native ad-serving systems.
• Expert-level proficiency in at least one of Java, Kotlin, or Python.
• Extensive experience building large-scale, real-time data pipelines with Apache Kafka, Apache Flink, or Kafka Streams.
• Experience mentoring senior engineers, developing technical leaders, and raising engineering standards across teams.
• Experience using AI-powered development workflows to improve engineering productivity, quality, and delivery speed.

Nice to have

• Experience developing or productionizing machine-learning models with ML engineers and data scientists.
• Strong understanding of advertising optimization engines, including pacing, bidding, ranking, and budget allocation.

Culture & Benefits

• AI-first environment where employees are expected to use tools such as Claude, Gemini, ChatGPT, and Glean while owning AI-assisted outputs.
• Warm and inclusive environment supporting a hybrid employment model that combines office presence and work from home.
• Meaningful equity grant with quarterly vesting; the first vest date occurs within three months of the start date.
• Choice of health plans, including a 100% covered employee-only plan option, plus OneMedical membership.
• Inclusive workplace committed to reflecting the diversity of the communities served.